{"id":"W6968918508","doi":"10.5281/zenodo.5968317","title":"Eudendrium irregulare Fraser 1922","year":2018,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Scientific Computing and Data Management","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pedicel; Hydroid (botany); Taxonomy (biology); Hydrozoa; Holotype; Key (lock)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001925116,0.0007849569,0.0003478825,0.001664902,0.002163913,0.0004555607,0.0006219732,0.0009170037,0.01004715],"category_scores_gemma":[0.0007800068,0.0002079251,0.0001751066,0.001309603,0.0005260861,0.001097895,0.0007397686,0.0006239896,0.003734292],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001063339,"about_ca_system_score_gemma":0.0003942073,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01663667,"about_ca_topic_score_gemma":0.02255232,"domain_scores_codex":[0.9996607,0.00003264647,0.00002416974,0.0001225193,0.00009667684,0.00006322035],"domain_scores_gemma":[0.9997742,0.00003461667,0.00007747206,0.0000261039,0.00006574435,0.00002184183],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0005524191,0.0001329611,0.02604751,0.0008164731,0.00006614735,0.005051788,0.002355688,0.001630482,0.03636642,0.01071125,0.07279225,0.8434765],"study_design_scores_gemma":[0.00005305707,0.0001499984,0.1005285,0.0004350458,0.00005271612,0.007505659,0.000734828,0.0003595756,0.003179782,0.001026251,0.8859397,0.00003492064],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3913458,0.04520737,0.008790198,0.002136043,0.002883615,0.0004542982,0.009268624,0.0007242183,0.5391898],"genre_scores_gemma":[0.9217291,0.005681492,0.007209646,0.0009878128,0.0006116209,0.0001262444,0.003462277,0.00006952004,0.06012226],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01663667,"threshold_uncertainty_score":0.033611,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1344182264411077,"score_gpt":0.3438898223498233,"score_spread":0.2094715959087156,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}